A Posteriori Error Estimates of a Weakly Over-Penalized Symmetric Interior Penalty Method for Elliptic Eigenvalue Problems
East Asian J. Appl. Math., 5 (2015), pp. 327-341.
Published online: 2018-02
Cited by
Export citation
- BibTex
- RIS
- TXT
@Article{EAJAM-5-327,
author = {},
title = {A Posteriori Error Estimates of a Weakly Over-Penalized Symmetric Interior Penalty Method for Elliptic Eigenvalue Problems},
journal = {East Asian Journal on Applied Mathematics},
year = {2018},
volume = {5},
number = {4},
pages = {327--341},
abstract = {
A weakly over-penalized symmetric interior penalty method is applied to solve elliptic eigenvalue problems. We derive a posteriori error estimator of residual type, which proves to be both reliable and efficient in the energy norm. Some numerical tests are provided to confirm our theoretical analysis.
}, issn = {2079-7370}, doi = {https://doi.org/10.4208/eajam.060415.230915a}, url = {http://global-sci.org/intro/article_detail/eajam/10816.html} }
TY - JOUR
T1 - A Posteriori Error Estimates of a Weakly Over-Penalized Symmetric Interior Penalty Method for Elliptic Eigenvalue Problems
JO - East Asian Journal on Applied Mathematics
VL - 4
SP - 327
EP - 341
PY - 2018
DA - 2018/02
SN - 5
DO - http://doi.org/10.4208/eajam.060415.230915a
UR - https://global-sci.org/intro/article_detail/eajam/10816.html
KW - Interior penalty method, weakly over-penalization, elliptic eigenvalue problems, a posteriori error estimate.
AB -
A weakly over-penalized symmetric interior penalty method is applied to solve elliptic eigenvalue problems. We derive a posteriori error estimator of residual type, which proves to be both reliable and efficient in the energy norm. Some numerical tests are provided to confirm our theoretical analysis.
Yuping Zeng, Jinru Chen & Feng Wang. (1970). A Posteriori Error Estimates of a Weakly Over-Penalized Symmetric Interior Penalty Method for Elliptic Eigenvalue Problems.
East Asian Journal on Applied Mathematics. 5 (4).
327-341.
doi:10.4208/eajam.060415.230915a
Copy to clipboard